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20202026
most citedSLICES, a scientific instrument for the networking community

49 citations · 155 across the 45 of their papers we have counts for

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Showing 2024Show all

14 papers · 1 filter

cs.SI2024

A Herd of Young Mastodonts: the User-Centered Footprints of Newcomers After Twitter Acquisition

Francesco Di Cursi, Chiara Boldrini, Andrea Passarella +1

The tremendous success of major Online Social Networks (OSNs) platforms has raised increasing concerns about negative phenomena, such as mass control, fake news, and echo chambers.…

cs.LG2024★ 1 cited

Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions

Mirko Nardi, Lorenzo Valerio, Andrea Passarella

Federated Learning (FL) enables decentralized machine learning while preserving data privacy, making it ideal for sensitive applications where data cannot be shared. While FL has b…

cs.LG2024★ 1 cited

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher

Alessio Mora, Lorenzo Valerio, Paolo Bellavista +1

Federated Learning (FL) enables the collaborative training of machine learning models without requiring centralized collection of user data. To comply with the right to be forgotte…

quant-ph2024★ 6 cited

Routing in Quantum Networks with End-to-End Knowledge

Vinay Kumar, Claudio Cicconetti, Marco Conti +1

Given the diverse array of physical systems available for quantum computing and the absence of a well-defined quantum internet protocol stack, the design and optimisation of quantu…

cs.SI2024

Social Isolation, Digital Connection: COVID-19's Impact on Twitter Ego Networks

Kamer Cekini, Elisabetta Biondi, Chiara Boldrini +2

One of the most impactful measures to fight the COVID-19 pandemic in its early first years was the lockdown, implemented by governments to reduce physical contact among people and…

cs.SI2024

Applying the Ego Network Model to Cross-Target Stance Detection

Jack Tacchi, Parisa Jamadi Khiabani, Arkaitz Zubiaga +2

Understanding human interactions and social structures is an incredibly important task, especially in such an interconnected world. One task that facilitates this is Stance Detecti…

cs.SI2024

Unveiling Cognitive Constraints in Language Production: Extracting and Validating the Active Ego Network of Words

Kilian Ollivier, Chiara Boldrini, Andrea Passarella +1

The "ego network of words" model captures structural properties in language production associated with cognitive constraints. While previous research focused on the layer-based str…

cs.NI2024

Energy-Efficient Deployment of Stateful FaaS Vertical Applications on Edge Data Networks

Claudio Cicconetti, Raffaele Bruno, Andrea Passarella

5G and beyond support the deployment of vertical applications, which is particularly appealing in combination with network slicing and edge computing to create a logically isolated…

cs.LG2024★ 4 cited

Robustness of Decentralised Learning to Nodes and Data Disruption

Luigi Palmieri, Chiara Boldrini, Lorenzo Valerio +3

In the vibrant landscape of AI research, decentralised learning is gaining momentum. Decentralised learning allows individual nodes to keep data locally where they are generated an…

cs.AI2024★ 3 cited

Optimizing Risk-averse Human-AI Hybrid Teams

Andrew Fuchs, Andrea Passarella, Marco Conti

We anticipate increased instances of humans and AI systems working together in what we refer to as a hybrid team. The increase in collaboration is expected as AI systems gain profi…

cs.LG2024★ 1 cited

Impact of network topology on the performance of Decentralized Federated Learning

Luigi Palmieri, Chiara Boldrini, Lorenzo Valerio +2

Fully decentralized learning is gaining momentum for training AI models at the Internet's edge, addressing infrastructure challenges and privacy concerns. In a decentralized machin…

cs.SI2024

On the Joint Effect of Culture and Discussion Topics on X (Twitter) Signed Ego Networks

Jack Tacchi, Chiara Boldrini, Andrea Passarella +1

Humans are known to structure social relationships according to certain patterns, such as the Ego Network Model (ENM). These patterns result from our innate cognitive limits and ca…

cs.AI2024★ 7 cited

Optimizing Delegation in Collaborative Human-AI Hybrid Teams

Andrew Fuchs, Andrea Passarella, Marco Conti

When humans and autonomous systems operate together as what we refer to as a hybrid team, we of course wish to ensure the team operates successfully and effectively. We refer to te…

cs.SI2024

Keep Your Friends Close, and Your Enemies Closer: Structural Properties of Negative Relationships on Twitter

Jack Tacchi, Chiara Boldrini, Andrea Passarella +1

The Ego Network Model (ENM) is a model for the structural organisation of relationships, rooted in evolutionary anthropology, that is found ubiquitously in social contexts. It take…